关键词: 杂交蚁群系统, 遗传算法, Powell算子, 化学动力学, 参数估计, 超临界水氧化反应

Abstract: A drawback of standard ant colony algorithm is not suitable for solving continuous optimization problems.A hybrid ant colony system (HACS), which was combined with the genetic algorithm and the Powell method,was proposed for solving continuous optimization problems.HACS, which included two kinds of ants: global ant and local ant, was built.The function of global ants was to explore the solution space, and that of local ants was to exploit the best solution. These two kinds of ants cooperated with each other in finishing the optimization task.The Powell method joined in local search, which was in favor of obtaining the accurate global optimal solution. The testing results indicated that the HACS showed better ability in finding global optimal solution than SGA.HACS was used to estimate the kinetic parameters of 2-chlorophenol oxidation in supercritical water.

Key words: 杂交蚁群系统, 遗传算法, Powell算子, 化学动力学, 参数估计, 超临界水氧化反应